Image Dataset

Download the Dataset. This dataset contains 4. Barron, Florian Kainz, Jiawen Chen, and Marc Levoy. The National Institutes of Health's Clinical Center has made a large-scale dataset of CT images publicly available to help the scientific community improve detection accuracy of lesions. 2013, Plant Methods, vol. This site is dedicated to making high value health data more accessible to entrepreneurs, researchers, and policy makers in the hopes of better health outcomes for all. 2, 2018 -- To help improve detection accuracy of lesions, the National Institutes of Health (NIH)'s Clinical Center has made available a large-scale dataset of 32,000 annotated lesions identified on computed tomography (CT) images. FGVC-Aircraft Benchmark. is a color image collection of one-thousand small objects, recorded for scientific purposes. If you use any of these datasets for research purposes you should use the following citation in any resulting publications: @phdthesis{MnihThesis, author = {Volodymyr Mnih}, title = {Machine Learning for Aerial Image Labeling}, school = {University of Toronto}, year = {2013} } Massachusetts Roads Dataset Training Set. In order to build our deep learning image dataset, we are going to utilize Microsoft’s Bing Image Search API, which is part of Microsoft’s Cognitive Services used to bring AI to vision, speech, text, and more to apps and software. 127,915 CAD Models 662 Object Categories 10 Categories with Annotated Orientation. Angel Cruz-Roa - Web site. Each image in this dataset is labeled with 50 categories, 1,000 descriptive attributes, bounding box and clothing landmarks. The Inria Aerial Image Labeling addresses a core topic in remote sensing: the automatic pixelwise labeling of aerial imagery (link to paper). 7K images from the real world for testing model. org is a project dedicated to the free and open sharing of. Solar Datasets. The FLIR starter thermal dataset enables developers to start training convolutional neural networks (CNN), empowering the automotive community to create the next generation of safer and more efficient ADAS and driverless vehicle systems using cost-effective thermal cameras from FLIR. The dataset includes around 25K images containing over 40K people with annotated body joints. 15,851,536 boxes on 600 categories. LFW (Labeled Faces in the Wild) [ 9 ] is a dataset composed of facial images with uncontrolled facial angle, partial occlusion, illumination, and complex background. Description. nationalmap. 3 of the dataset is out! 63,686 images, 145,859 text instances, 3 fine-grained text attributes. tags associated with images in community contributed datasets such as Flickr, and the information about a great many places available taken from the World Wide Web. Datasets for Download NOTE: The datasets presented on this page are intended for the use of researchers. A set of 'clusters' files identify which groups of images belong in each scene. Area of Interest 6 (AOI 6) - Location: Atlanta 27 50cm images collected from DigitalGlobes' WorldView-2 satellite. University of South Florida range image database. The dataset contains 500 image groups, each of which represents a distinct scene or object. This dataset includes over 7,000 facial images with keypoints annotated on every image. This dataset contains 20,278 images with properties similar to the one described in the above paper. Image Alpha Matting Dataset Image Alpha Matting Dataset. ImageNet is an image database organized according to the WordNet hierarchy (currently only the nouns), in which each node of the hierarchy is depicted by hundreds and thousands of images. world Feedback. The included leafsnap-dataset-images. Generating the Dataset To generate the Conceptual Captions dataset, we start by sourcing images from the web that have Alt-text HTML attributes. NASA Cloud Data. Biolucida Cloud streamlines this process by allowing you and your colleagues to quickly view any image over the Internet. Microdata Library. Discovering Groups of People in Images. Get the SourceForge newsletter. SDNET2018 is an annotated image dataset for training, validation, and benchmarking of artificial intelligence based crack detection algorithms for concrete. Visual dictionary. Daytime thermal infrared (12. IBM selected a sampled subset of one million images from Yahoo's Flickr dataset (Flickr allows the use of its images for research). Each class has 500 training images, 50 validation images, and 50 test images. In order to utilize an 8x8 figure like this, we'd have to first transform it into a feature vector with length 64. Provides a listing of available World Bank datasets, including databases, pre-formatted tables, reports, and other resources. While most publicly available medical image datasets have less than a thousand lesions, this dataset, named. RADARSAT-1, which stopped transmitting because of a technical anomaly in March 2013, was equipped with synthetic aperture radar (SAR), a powerful microwave instrument. Database description. An understanding of open image datasets for urban semantic segmentation shall help one understand how to proceed while training models for self-driving cars. MNIST: handwritten digits: The most commonly used sanity check. We crawled 0. We find it's much more fun and effective to reenact meetings and other scenes than to try and use real-life images. Open Images Dataset V5 + Extensions. Page Content The current browser does not support Web pages that contain the IFRAME element. HDR Image Formats Light Probe images are measurements of light in the real world, and thus are high dyanmic range. To the best of our knowledge, the database for this challenge, IDRiD (Indian Diabetic Retinopathy Image Dataset), is the first database representative of an Indian population. MapGeo by. Agricultural Research Service programs generate many publicly accessible data products that are catalogued in the Ag Data Commons. Video clips created July 11, 2003 and January 20, 2004. Deep learning Image Datasets. Face and Gesture images and image sequences - Several image datasets of faces and gestures that are ground truth annotated for benchmarking German Fingerspelling Database - The database contains 35 gestures and consists of 1400 image sequences that contain gestures of 20 different persons recorded under non-uniform daylight lighting conditions. txt file contains a listing of all the images, in tab-separated format (tsv). Data set of plant images (Download from host web site home page. Characteristics. In order to capture the sensory variation in object recordings, we systematically varied viewing angle, illumination angle, and illumination color for each object, and additionally captured wide-baseline stereo images. pic image format (Described in Greg Ward's "Real Pixels" article in Graphics Gems II. NET DataSet contains DataTableCollection and their DataRelationCollection. Open Images Dataset V5 + Extensions. In particular, each class has fewer labeled training examples than in CIFAR-10, but a very large set of unlabeled. Time-series images of a scene in a wind farm, bounding boxes around the aerial objects in the images, and species annotations. Flickr Faces. LFWcrop was created due to concern about the misuse of the original LFW dataset, where face matching accuracy can be unrealistically boosted through the use of background parts of images (i. Shamma and the Flickr Photos Dataset. For more than half of the subjects, the diagnosis was confirmed through histopathology and for the rest of the patience through follow-up examinations, expert consensus, or by in-vivo confocal microscopy. If using JSON-LD, this is represented using JSON list syntax. High-resolution mapping of copy-number alterations with massively parallel sequencing. Notre Dame: a 715-image reconstruction of Notre Dame Cathedral in Paris. Stanford Dogs Dataset Aditya Khosla Nityananda Jayadevaprakash Bangpeng Yao Li Fei-Fei. How to cite our datasets: We grant permission to use and publish all images and disparity maps on this website. fr -site:www. Byte and when I attempted to fill the DataSet, I got an error: "Inconvertible type mismatch between SourceColumn 'Icon_im' of Byte and the DataColumn 'Icon_im' of Byte. The cartoons vary in 10 artwork categories, 4 color categories, and 4 proportion categories, with a total of ~10 13 possible combinations. in this loop every time I should save all the results because I want to make a dataset of these images and then do feature extraction. The RVL-CDIP (Ryerson Vision Lab Complex Document Information Processing) dataset consists of 400,000 grayscale images in 16 classes, with 25,000 images per class. , have gamma or tone curve correction applied), are demosaiced, and include the effect of the camera's white balancing. This paper summarizes a conference session which discussed medical image data and datasets for machine learning. Limitations: The annotations are sparse. Download Kaggle Cats and Dogs Dataset from Official Microsoft Download Center. images of 70,000 fashion products from 10 categories, with 7,000 images per category. Millions of images and YouTube videos, linked and tagged to teach computers what a spoon is. The images consisted of 14 diagnoses, including both malignant and benign conditions. net Dataset. There are 5 fields, which are separated by tabs:. While these relationships are well-studied, our work explores the little-studied dependence of facial appearance on geographic location. The included leafsnap-dataset-images. Categorised list of freely available GIS datasets. Although you would be required to annotate the data. For each class, 250 manually reviewed test images are provided as well as 750 training images. Description. OASIS-3 is the latest release in the Open Access Series of Imaging Studies (OASIS) that aimed at making neuroimaging datasets freely available to the scientific community. Therefore, the depth images in our datasets are reprojected into the frame of the color camera, which means that there is a 1:1 correspondence between pixels in the depth map and the color image. Rather than releasing a static dataset, we will also provide the code for datasets generation. This does not happen with the individual rasters, only when in a mosaic. In addition, due to the limited number of apparent age annotated images, we explore the benefit of finetuning over crawled Internet face images with available age. The RVL-CDIP (Ryerson Vision Lab Complex Document Information Processing) dataset consists of 400,000 grayscale images in 16 classes, with 25,000 images per class. The dataset currently has 7363 images with 12 object classes, namely Bicycle, Boat, Bottle, Bus, Car, Cat, Chair, Cup, Dog, Motorbike, People, and Table. If the dataset has more than one identifier, repeat the identifier property. Ahead of release, we activated it to test colorizing some B&W pictures. Places205: An image dataset which contains 2,448,873 images from 205 scene categories. By Human Subject-- Clicking on a subject's ID leads you to a page showing all of the segmentations performed by that subject. This dataset includes over 7,000 facial images with keypoints annotated on every image. When a dataset derives from or aggregates several originals, use the isBasedOn property. In some cases, the publisher of a data set is different than how we think of the publisher of a book. If i want to feed the datas to a neural network what do i need to do ? For MNIST dataset i just had to write (X_train, y_train), (X_test, y_test) = mnist. hi there , i am trying to load image from dataset i am on C# 2. Places-CNNs: Convolutional neural networks trained on Places. Open Images is a massive dataset which contains close to 9 million images All images come with labels that were prepared manually by professional annotators The dataset is divided into the training (9 million+ images), validation (41k+ images), and test (125k+ images) set Google has also announced. Mosaic of visible light, wide angle images. IMAGEMAP= output-data-set creates a temporary SAS data set that is used to generate an image map in an HTML output file. It features:. The Comprehensive Cars (CompCars) dataset contains data from two scenarios, including images from web-nature and surveillance-nature. The dataset property on the HTMLOrForeignElement interface provides read/write access to all the custom data attributes (data-*) set on the element. The dataset is divided into five training batches and one test batch, each with 10000 images. We find it's much more fun and effective to reenact meetings and other scenes than to try and use real-life images. Only few high quality image sets are publically accessible and a few are noted beneath: KITTI Vision Benchmark Suite (Karlsruhe Institute of Technology and University of Toronto) Pascal3D+ dataset…. Agricultural Research Service programs generate many publicly accessible data products that are catalogued in the Ag Data Commons. It is released in two stages, one with only the pictures and one with both pictures and videos. Image is a large object data type. Places205: An image dataset which contains 2,448,873 images from 205 scene categories. The RGB-D Object Dataset is a large dataset of 300 common household objects. You can contribute to the database by visiting the annotation tool. These data sets are not officially supported and may not be up to date. Moreover, it is the only dataset constituting typical diabetic retinopathy lesions and also normal retinal structures annotated at a pixel level. For data augmentation you can use imgaug or augmentor library. Each scene is captured from 3-5 camera poses, over a total of 850 scenes. [email protected] It is my understanding they have been released by the Eastman Kodak Company for unrestricted usage. Bamford [1] undertook a similar effort in bright. The training and test sets have accompanying annotation data that define the location and extent of. LeCun et al. Let's assume that we do need a particular processing to open the images in RGB 8bits format:. The Inria Aerial Image Labeling addresses a core topic in remote sensing: the automatic pixelwise labeling of aerial imagery (link to paper). Hence, any image that depicts t (two dogs running in the grass) must also depict s (two dogs running), and t ⊆ s. If dataset is already downloaded, it is not downloaded again. The left image shows the entire orthomosaic map, and the middle and right are subsets of each area at varying zoom levels. Now some of those faces may have the ability to sue. Each image in this dataset is labeled with 50 categories, 1,000 descriptive attributes, bounding box and clothing landmarks. Open Images Dataset V5 + Extensions. The shapes dataset has 500 128x128px jpeg images of random colored and sized circles, squares, and triangles on a random colored background. php/Using_the_MNIST_Dataset". However, images obtained with popular cameras and hand held devices still pose a formidable challenge for character recognition. Caltech-UCSD Birds 200 (CUB-200) is an image dataset with photos of 200 bird species (mostly North American). If you select the boundary or footprint layers, the ribbon will show contextual tabs associated with vector files. Object-level annotations provide a bounding box around the (visible part of the) indicated object. The advantage is the size and depth of their dataset, rather than market share alone. You can convert grayscale image datasets to RGB. Description. #1 #2 #3 #4 #5 #6 #7 #8 #9 #10 #11 #12 #13 #14 #15 #16 #17 #18 #19 #20 #21 #22 #23 #24 #25 #26 #27. ML-Images contains 18 million images and more than 11,000 common object categories; while ResNet-101 has reached the highest precision level in the industry. The dataset is divided into 8 sequences and contains both 16bit (may appear black on most screens) images as well as the downsampled 8bit images. Any rough help or guidance will be appreciated. Before you start any training, you will need a set of images to teach the network about the new. txt: contains the file names of each training image. The dataset is comprised of photos of dogs and cats provided as a subset of photos from a much larger dataset of 3 million manually annotated photos. , in the folder dataset and run commands that I will be giving. The challenging aspects of this problem are evident in this dataset. Scene Recognition Demo: Input a picture of a place or scene and see how our Places-CNN predicts it. Due to computational reasons we use a connectivity measure for evaluation on this webpage that slightly differs from the measure that was described in the original CVPR'09 paper. Version 5 of Open Images focuses on object detection, with millions of bounding box annotations for 600 classes. Summary: SCface is a database of static images of human faces. csv) Description. This dataset is a good test or demonstration of the relationships between the raster, sampling, and world coordinate frames. The dataset was developed as a partnership between Petfinder. The dataset is the first in a series to provide document images and their ground truth as a contribution to Document image analysis and recognition (DAIR) community. This dataset contains over 7000 photographs relating to a selection of State Heritage Places. This is a dataset for binary sentiment classification containing substantially more data than previous benchmark datasets. Various other datasets from the Oxford Visual Geometry group. jpg are allowed. This dataset contains product reviews and metadata from Amazon, including 142. Fashion-MNIST is intended to serve as a direct drop-in replacement for the original MNIST dataset for benchmarking machine learning algorithms, as it shares the same image size, data format. Abstract: We present Open Images V4, a dataset of 9. If you use any of these datasets for research purposes you should use the following citation in any resulting publications: @phdthesis{MnihThesis, author = {Volodymyr Mnih}, title = {Machine Learning for Aerial Image Labeling}, school = {University of Toronto}, year = {2013} } Massachusetts Roads Dataset Training Set. Each dataset consists of a set of Flickr images and a reconstruction. Facial recognition. There are 1,586, 1,324 and 5,941 GPS locations in Pittsburg, Orlando and Manhattan, respectively. Dataset of 50,000 32x32 color training images, labeled over 10 categories, and 10,000 test images. Load sample images for image manipulation. Docker Container of Oracle Database pre-populated with the CDC NHANES public dataset (41,474 patients with ~1,300 variables). The character images were based on 20 different fonts and each letter within these 20 fonts was randomly distorted to produce a file of 20,000 unique stimuli. HAM10000: This dataset contains 10015 dermatoscopic images of pigmented lesions for patients in 7 diagnostic categories. A public dataset is any dataset that is stored in BigQuery and made available to the general public through the Google Cloud Public Dataset Program. SVHN is a real-world image dataset for developing machine learning and object recognition algorithms with minimal requirement on data preprocessing and formatting. Only upload images to LabelMe with the goal of making them publicly available for research. Datasets CIFAR10 small image classification. 5 million images of celebrities from IMDb and Wikipedia that we make public on this website. Microdata Library. The available datasets are as follows:. Image Classification on Small Datasets with Keras. We crawled 0. The data is split into 8,144 training images and 8,041 testing images, where each class has been split roughly in a 50-50 split. It is designed for extracting individual annotations from the XML files and converting them, and the DICOM images, into TIF format for easier processing in Matlab (LIDC-IDRI dataset). Datasets CIFAR10 small image classification. Flickr Faces. 2m Data - This dataset is derived from a combination of all data that is 2m resolution or better which has been merged and re-sampled to give the best possible coverage. This dataset includes the 102 attribute labels x 3 worker annotations for each of the 14340 images included. Usually the original positive images were of very high resolution (approx. Then we must add a new image control and add it to the tablix. Most deadly fires occur at night. A mosaic dataset allows you to store, manage, view, and query small to vast collections of raster and image data. If i want to feed the datas to a neural network what do i need to do ? For MNIST dataset i just had to write (X_train, y_train), (X_test, y_test) = mnist. We provide a set of 25,000 highly polar movie reviews for training, and 25,000 for testing. Searchable online database of medical images, teaching cases and clinical topics, also provides free AMA Category 1 CME credits online. Database contains 4160 static images (in visible and infrared spectrum) of 130 subjects. The format of the image filename in Dataset A is 'PlantID-GenotypeID. The pictures were photographs of natural scenes (Corel CD-ROM library; images available for viewing on the download page). While these relationships are well-studied, our work explores the little-studied dependence of facial appearance on geographic location. LEGO Diorama Images We often create dioramas from LEGO bricks for use with our presentations, blogs, and social media posts. Please enable it to continue. We are making available a large newly collected dataset -DIV2K- of RGB images with a large diversity of contents. Time-series images of a scene in a wind farm, bounding boxes around the aerial objects in the images, and species annotations. The first line in each file contains headers that describe what is in each column. download (1. This page aims to provide the download instructions and mirror sites for Open Images Dataset. The Cityscapes Dataset. Datasets consisting primarily of images or videos for tasks such as object detection, facial recognition, and multi-label classification. A dataset of ~9 million URLs to images that have been annotated with image-level labels and bounding boxes spanning thousands of classes. MapGeo by. SUN RGB-D: A RGB-D Scene Understanding Benchmark Suite Abstract. Dataset Summary Public database released in conjunction with SCIA 2011, 24-26 May, 2011 More than 20 000 images with 20% labeled Contains 3488 traffic signs Sequences from highways and cities recorded from more that 350 km of Swedish roads. I have rebuilt it from scratch several times. It is a subset of a larger set available from NIST. When combined with the 'Data' and the 'Results' files this code allows to generate the results table from the ICIP publication. Dataset By Image-- This page contains the list of all the images. The Matlab example code provides functions to iterate over the datasets (both training and test) to read the images and the corresponding annotations. Farhadi, I. An online database for plant image analysis software tools Lobet G. * "Dean Slindee" scripsit: Does anybody have an actual example of retrieving an Image data type column from a SQL Server table using a dataset (not a datareader)?. Searchable online database of medical images, teaching cases and clinical topics, also provides free AMA Category 1 CME credits online. 2, 2018 -- To help improve detection accuracy of lesions, the National Institutes of Health (NIH)'s Clinical Center has made available a large-scale dataset of 32,000 annotated lesions identified on computed tomography (CT) images. I provided a code that gets an initial image as input and gives me 4 images as result. Considerations when using mosaic datasets and image services in analysis. She uploaded. Various other datasets from the Oxford Visual Geometry group. MedPix Toggle navigation. The dataset also includes 3D coordinate encoded images where each pixel encodes the X, Y, Z location of the point in the world coordinate system. Sign in Sign up Instantly share code, notes, and snippets. You might stereotype a narcissist’s behavior online as simply vain or self-absorbed. Docker Container of Oracle Database pre-populated with the CDC NHANES public dataset (41,474 patients with ~1,300 variables). / Results from time-series analysis of Landsat images characterizing forest extent and change. edu/wiki/index. HAM10000: This dataset contains 10015 dermatoscopic images of pigmented lesions for patients in 7 diagnostic categories. Flickr1024: A Large-Scale Dataset for Stereo Image Super-resolution. The AWS Public Dataset Program covers the cost of storage for publicly available high-value cloud-optimized datasets. FREE FLIR Thermal Dataset for Algorithm Training. We develop a dense CRF-based algorithm for intrinsic image decomposition of these images that outperforms state-of-the-art algorithms. The IAM Handwriting Database 3. Due to computational reasons we use a connectivity measure for evaluation on this webpage that slightly differs from the measure that was described in the original CVPR'09 paper. Datasets for Download NOTE: The datasets presented on this page are intended for the use of researchers. It is inspired by the CIFAR-10 dataset but with some modifications. The first line in each file contains headers that describe what is in each column. Having to train an image-classification model using very little data is a common situation, in this article we review three techniques for tackling this problem including feature extraction and fine tuning from a pretrained network. This image shows datasets that have been published in the Linked Data format. This dataset will also be available soon from the National Library of Medicine. However, images obtained with popular cameras and hand held devices still pose a formidable challenge for character recognition. This permits a single research group of the Licensee to use the image dataset for computer science or medical image research. jpg are allowed. / Results from time-series analysis of Landsat images characterizing forest extent and change. I provided a code that gets an initial image as input and gives me 4 images as result. An open dataset of real photographs with real noise, from identical scenes captured with varying ISO values. We often come across requirements to build an artificial intelligence solution where the client needs an image dataset to move forward. , find out when the entities occur. Use the sample datasets in Azure Machine Learning Studio. It is my understanding they have been released by the Eastman Kodak Company for unrestricted usage. The dataset property on the HTMLOrForeignElement interface provides read/write access to all the custom data attributes (data-*) set on the element. [email protected] The dataset, named CVL AirZurich 2018, consists of about 830 high-quality aerial images, spanning across the city of Zurich. This dataset is simply the image of the All-Sky map that was created by combining the 16 images. We have released the training and validation sets with images and annotations. All texts in the IAM database are built using sentences provided by the LOB Corpus. The first is the Normalized Brodatz Texture database (NBT) which is a collection of grayscale images. Angel Cruz-Roa - Web site. Pascal dataset. "Getting the known gender based on name of each image in the Labeled Faces in the Wild dataset. The Click Dataset is large (~2. The VIP-LowLight dataset is a set of natural images captured in very low-light conditions. Click on the image to download it. 36,464,560 image-level labels on 19,959. More ARFF datasets such as Protein & Biomedical data, drug design, Reuters21578 as the ModApte split, and various agricultural data sets can be. This is the largest public dataset for age prediction to date. Each of the tiles in the mosaic is an arithmetic average of images relating to one of 53,464 nouns. However, finding useful labeled images can be a problem. The images cover large variation in pose, facial expression, illumination, occlusion, resolution, etc. If i want to feed the datas to a neural network what do i need to do ? For MNIST dataset i just had to write (X_train, y_train), (X_test, y_test) = mnist. The Computer Vision and Pattern Recognition Group conducts research and invents technologies that result in commercial products that enhance the security, health and quality of life of individuals the world over. Input images. A large dataset of natural images that have been segmented by human observers. The partition that we use is: TrainImages. 1075-1088, 2003. There are 100 images for each of the following classes:. As a result, these images are provided in the several HDR formats including the RADIANCE Synthetic Imaging System. Labeled Fishes in the Wild image dataset (v. These rasters were either provided to MassGIS as a project deliverable or created by MassGIS from the ground-classified points. This directory contains 20 subdirectories, one for each person, named by userid. fr -site:barre. The DIV2K dataset is divided into:. After each image was taken, two additional photographs were taken of a Macbeth Colour Checker inside and outside of shadow. Image Parsing. Half of the segmentations were obtained from presenting the subject with a color image; the other half from presenting a grayscale image. IBM selected a sampled subset of one million images from Yahoo's Flickr dataset (Flickr allows the use of its images for research). This tutorial will go through. We provide both class labels and bounding boxes as annotations; however, you are asked only to predict the class label of each image without localizing the. In order to capture the sensory variation in object recordings, we systematically varied viewing angle, illumination angle, and illumination color for each object, and additionally captured wide-baseline stereo images. The data is split into 8,144 training images and 8,041 testing images, where each class has been split roughly in a 50-50 split. fr -site:barre. These databases, datasets, and data collections may be maintained by ARS or by ARS in cooperation with other organizations. The first image of each group is the query image and the correct retrieval results are the other images of the group. Here are the instructions how to enable JavaScript in your web browser. Such images can be used for conveniently relating the content of RGB images, e. Byte and when I attempted to fill the DataSet, I got an error: "Inconvertible type mismatch between SourceColumn 'Icon_im' of Byte and the DataColumn 'Icon_im' of Byte. Let me use MNIST as an example. Create am image dataset for the purposes of object classification. The Lung X-Ray Image Standard 25K dataset (25,000, one record per person in standard selection) contains variables reporting each participant's x-ray image availability. The database was created to provide more diversity of lighting, age, and ethnicity than currently available landmarked 2D face databases. txt: contains the file names of each training image. The pictures below link to lossless, true color (24 bits per pixel, aka "full color") images. Bird experts searched for and annotated the images of birds, and thus, even birds that appeared to be very small in the whole image could be specified in detail. next to significant other) or physical (e.